matlab部分IPT函数的运用

在图像去卷积算法引入先验模型的应用,主要是建立马尔可夫随机场先验模型.很大程度上改进了去卷积的效果,更多的保持了图像的边缘特征.(In image deconvolution algorithm Application of the introduction of a priori model, mainly the establishment of Markov random field a priori model. A large extent, improved the effectiveness of deconvolution, more to maintain the image of the edge feature.)

基于区域能量的图像融合方法 赋原图 代码简练(Based on the Regional energy image fusion method)

Image feature extraccting using sift

说明：  联合特征选择和子空间相关性学习的跨模态检索，map优于典型相关性分析的跨模态检索(Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval)

细菌觅食算法与粒子群优化算法相结合的程序，可以实现适应度函数的最值计算，有很好的参考价值。(Bacterial Foraging algorithm and particle swarm optimization combined program, you can achieve the best fitness function value, and have a good reference value.)

支持向量机的MATLAB源程序，效果真的很不错(SVM MATLAB source, the effect is really very good)

说明：  matlab书上第六章数值运算的几个样例习题。。。。。(the descirbtion of the matlab)

通过求差分曲线，利用阈值分割算法对图像进行自动多阈值分割(image segment method)

医学图像分割当中形变模型方法中的水平集方法实现代码(Medical image segmentation which Morphable Model methods to achieve code level set method)

采用harris角点特征完成图像拼接，包含特征点的选取以及最终拼接后的结果输出(Harris corner feature complete image stitching, contains the feature points selected and the resulting output after final stitching)